Most Viewed Articles (last 30 Days)
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A Reproducible Data Analysis Workflow With R Markdown, Git, Make, and DockerAaron Peikert, Andreas M. Brandmaier175
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A Tutorial for Joint Modeling of Longitudinal and Time-to-Event Data in RSezen Cekic, Stephen Aichele, Andreas M. Brandmaier , Ylva Köhncke, Paolo Ghisletta147
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Estimating Item Parameters in Multistage Designs With the tmt Package in RJan Steinfeld, Alexander Robitzsch39
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Independent Validation as a Validation Method for ClassificationTina Braun, Hannes Eckert, Timo von Oertzen37
Description
Quantitative and Computational Methods in Behavioral Sciences
An online-only, open-access journal for the development of methods in psychology and related fields — Free of charge for authors and readers
We strive to foster the development of methods in psychology and related fields. With this aim, we publish scientific articles that extend the understanding of foundational mathematics used in psychological methods, development of new methods and software/hardware used by these, comparison of new or existing methods, and dissemination of this knowledge to a broader audience in psychology and related fields.
Articles are published in two sections: The fundamental research section targets an audience of quantitative psychologists, mathematicians, and statisticians with an interest in psychological applications of computational, statistical, and mathematical models and the method dissemination section, which concentrates on methodological articles that target an audience of social scientists that want to apply top-notch analysis methods.
We are dedicated to Open Science: All published articles are openly available for free. There is no publication fee for the review process or the publication. All articles are available as pre-prints as soon as they go into the review process, which keeps them available regardless of the formal decision.
Recent Articles
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Estimating Item Parameters in Multistage Designs With the tmt Package in RJan Steinfeld, Alexander RobitzschNovember 2023
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Chain Graph Reduction Into Power Chain GraphsVithor Rosa Franco, Guilherme Wang Barros, Marie Wiberg, Jacob Arie LarosDecember 2022
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May 2021
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A Note on a Computationally Efficient Implementation of the EM Algorithm in Item Response ModelsAlexander RobitzschMay 2021
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A Reproducible Data Analysis Workflow With R Markdown, Git, Make, and DockerAaron Peikert, Andreas M. BrandmaierMay 2021